Fault Diagnosis for Rotation Hydraulic System Based on Fault Tree Fuzzy Neural Network

Abstract

For hydraulic system loop, mechanism without is a common fault, and it is a fault that we don't want to see mostly. Therefore, this paper chose the rotation without action as the top event, through the analysis of the principle of the hydraulic system, established mechanism hydraulic system fault tree model, by combining fuzzy logic and neural networks, exerted abundantly fault tree, fuzzy logic and neural network fault diagnosis method respective advantages, and verified validity of fault diagnosis for hydraulic system based on fault tree fuzzy neural network through experimental.